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NVIDIA · Robotics News

19天前更新

HISTORY近 30 天历史柱高表示当天去重热搜数量

1826 1827 1828 1829 1830 1931 1801 1802 1803 1804 1805

07/26—08/24 有历史数据

01
2,000 Interns, One Mission: Shape the Future of AI at NVIDIA
Summer means intern season — and this year, NVIDIA welcomed over 2,000 interns from nearly 300 universities to teams spanning every area of the company, from open source software platforms to hardware verification, gaming technology and autonomous vehicle (AV) development. NVIDIA internships are taking place in around two dozen countries. One shared theme across each […]NVIDIA Writers
02
NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community
Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the same opportunity, but advancements in physical AI development can still be gated by costly and fragmented resources, from large datasets and robot foundation models to simulation, compute and validation tools. NVIDIA and Hugging Face are […]Sasa Docca
03
Firefly Aerospace Operates NVIDIA Jetson in Lunar Orbit for the First Time
Firefly Aerospace Operates NVIDIA Jetson in Lunar Orbit for the First TimeChen Su
04
NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure
NVIDIA and Doosan Group are expanding their collaboration to advance new opportunities across physical AI, robotics and AI factory infrastructure, spanning Doosan Robotics, Doosan Bobcat, Doosan Enerbility and Doosan Corporation Electro-Materials BG. The collaboration will bring together NVIDIA’s full-stack accelerated computing platforms with Doosan Group’s capabilities in industrial automation, power generation and advanced electronics materials […]Madison Huang
05
NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI
At CVPR, NVIDIA is unveiling new physical AI agent skills that help researchers and developers speed the development of autonomous vehicles, robots and vision AI systems. The core challenge in physical AI research isn’t simply developing stronger models. It’s building a full workflow around them — reconstructing real-world scenes, generating edge-case scenarios, training policies, evaluating […]Pranjali Joshi
06
NVIDIA Jetson Brings Agentic AI to the Physical World
Agentic AI is getting physical. At COMPUTEX on Tuesday, NVIDIA announced NVIDIA JetPack 7.2 and NVIDIA NemoClaw support on NVIDIA Jetson. JetPack 7.2 brings agentic AI skills, Yocto project support, NVIDIA CUDA 13 on NVIDIA Jetson Orin, a substantial performance gain on Jetson AGX Orin 32GB module and Multi-Instance GPU (MIG) support on NVIDIA Jetson […]Chen Su
07
Into the Omniverse: Manufacturing’s Simulation-First Era Has Arrived
Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment.Bhoomi Gadhia
08
NVIDIA and Partners Showcase the Future of AI-Driven Manufacturing at Hannover Messe 2026
Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less — due to faster design cycles, leaner operations and strain on skilled labor pools — is accelerating the shift to AI-driven production. The question is no longer whether to adopt AI, but how fast and at what […]James McKenna
09
National Robotics Week — Latest Physical AI Research, Breakthroughs and Resources
This National Robotics Week, NVIDIA is highlighting the breakthroughs that are bringing AI into the physical world — as well as the growing wave of robots transforming industries, from agricultural and manufacturing to energy and beyond. Advancements in robot learning, simulation and foundation models are accelerating development, enabling robots to move from training in virtual […]NVIDIA Writers
10
As Open Models Spark AI Boom, NVIDIA Jetson Brings It to Life at the Edge
The Cat 306 CR mini-excavator weighs just under eight tons and fits inside a standard shipping container. It’s the machine a contractor rents when the job site is tight: a utility trench near a foundation, a basement dig in a dense neighborhood. The cab is roughly the size of a phone booth. The operator sits […]Chen Su
11
Into the Omniverse: Physical AI Open Models and Frameworks Advance Robots and Autonomous Systems
Open source has become essential for driving innovation in robotics and autonomy. By providing access to critical infrastructure — from simulation frameworks to AI models — NVIDIA is enabling collaborative development that accelerates the path to safer, more capable autonomous systems.Sasa Docca
12
Japan Science and Technology Agency Develops NVIDIA-Powered Moonshot Robot for Elderly Care
The next universal technology since the smartphone is on the horizon — and it may be a little less pocket friendly. The Moonshot research program, funded by the Japan Science and Technology Agency and accelerated by NVIDIA AI and robotics technologies, is working to create a world by 2050 where AI-powered, autonomously learning robots are […]Zoe Kessler
13
Robots’ Holiday Wishes Come True: NVIDIA Jetson Platform Offers High-Performance Edge AI at Festive Prices
Editor’s note: This blog has been updated to showcase additional recent innovations tapping into the NVIDIA Jetson platform. Developers, researchers, hobbyists and students can take a byte out of holiday shopping this season as NVIDIA has unwrapped special discounts on the NVIDIA Jetson family of developer kits for edge AI and robotics — available through […]Chen Su
14
Nemotron Labs: 3 Ways to Bring Agentic AI to Computer Vision Applications
Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems and applications on NVIDIA platforms. Each post highlights practical ways to use an open stack to deliver real value in production — from transparent research copilots […]Esther Lee
15
Into the Omniverse: Open World Foundation Models Generate Synthetic Worlds for Physical AI Development
Physical AI models — which power robots, autonomous vehicles and other intelligent machines — must be safe, generalized for dynamic scenarios and capable of perceiving, reasoning and operating in real time.Katie Washabaugh
16
NVIDIA Contributes to Open Frameworks for Next-Generation Robotics Development
This year’s ROSCon conference heads to Singapore, bringing together the global robotics developer community behind Robot Operating System (ROS) — the world’s most widely adopted open framework for building robots. At the conference, running through Wednesday, Oct. 29, NVIDIA announced collaborations with partners and the Open Source Robotics Alliance (OSRA), as well as new robotics […]Kalyan Vadrevu
17
Into the Omniverse: Open-Source Physics Engine and OpenUSD Advance Robot Learning
Building robots that can effectively operate alongside human workers in factories, hospitals and public spaces presents an enormous technical challenge. These robots require humanlike dexterity, perception, cognition and whole-body coordination to navigate unpredictable real-world environments in real time.Sasa Docca
18
The AI Makers: NVIDIA Partners in UK Advance Physical and Agentic AI, Robotics, Life Sciences and More
The U.K. is driving investments in sovereign AI, using the technology to advance industries like manufacturing, life sciences and more. During NVIDIA founder and CEO Jensen Huang’s visit to the U.K. this week, NVIDIA highlighted how it is working with a broad ecosystem of AI makers across the nation on applications in physical and agentic […]Anthony Hills